Conceptual models are used in IS development for capturing and specifying requirements. However, the mere understanding of the syntax or semantics of a modeling language is not the most crucial factor. More relevant is pragmatic knowledge about the application domain. The problem that this paper addresses is how one can verify that a shared understanding of the application domain exists. In our...

Incorporating domain knowledge is one of the most challenging problems in data mining. The Semantic Web technologies are promising to offer solutions to formally capture and efficiently use the domain knowledge. We call data mining technologies powered by the Semantic Web, capable of systematically incorporating domain knowledge, the semantic data mining. In this paper, we identify the importan...

OBJECTIVES The purpose of this study was to examine the applicability of the International Organization for Standardization (ISO) reference terminology model for nursing to describe the terminological value domain content regarding the entities and attributes of the detailed clinical models (DCMs) used for nursing assessments. METHODS The first author mapped 52 DCM entities and 45 DCM attribu...

One important task toward making web machine understandable is representing web data into semantic formats. Since a huge amount of web data stored in databases, researchers pay much care to convert DB to semantic format. Most of the previous work depends on domain ontology to covert DB to RDF. However, depending on domain ontology has many problems. This paper proposes converting web DBs into C...

We propose an extension to current view-based mediator systems called model-based mediation, in which views are defined and executed at the level of conceptual models (CMs) rather than at the structural level. Structural integration and lifting of data to the conceptual level is “pushed down” from the mediator to wrappers which in our system export classes, associations, constraints, and query ...

Selecting appropriate learning services for a learner from a large number of heterogeneous knowledge sources is a complex and challenging task. This article illustrates and discusses how Semantic Web technologies such as RDF and ontology can be applied to e-learning systems to help the learner in selecting an appropriate learning course or retrieving relevant information. It presents the main f...

Requirements Engineering is one of the most important phases in any product development life cycle since it is the basis for the complete software or product design and realization. Therefore in a worst case scenario any error within a requirement can result in a project loss. Computer support for requirement engineers is still premature as most RE applications can not cope with more sophistica...

We describe a two-layer architecture for supporting semantic interpretation and domain reasoning in dialogue systems. Building systems that support both semantic interpretation and domain reasoning in a transparent and well-integrated manner is an unresolved problem because of the diverging requirements of the semantic representations used in contextual interpretation versus the knowledge repre...

Meta-object protocols are used to open up the implementations of object-oriented general-purpose languages to support semantic variability. They enable performing application-level semantic adaptations to the language even at runtime. However, such meta-object protocols are not available for domain specific-modeling languages. Also, existing approaches to implementing domain-specific modeling l...

content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. the challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. hence, in this paper, an image retrieval system is introduced that provided two kind of qu...